@inproceedings{71e87304839144a984552634edc4a33f,
title = "Evaluating backgrounds for subpixel target detection: When closer isn't better",
abstract = "Several different background estimators are considered when performing sub-pixel target acquisition. Although all leave noise of about the same amplitude, the difference in their N-dimensional orientation makes a big difference in the target detection performance. Metrics to evaluate the correlation of the noise are presented.",
keywords = "Background estimation, Hyperspectral, Point target detection, Subpixel",
author = "N. Hasson and S. Asulin and D. Blumberg and Rotman, {S. R.}",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI ; Conference date: 21-04-2015 Through 23-04-2015",
year = "2015",
month = jan,
day = "1",
doi = "10.1117/12.2085059",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Miguel Velez-Reyes and Kruse, {Fred A.}",
booktitle = "Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI",
address = "United States",
}